Marie Verbanck
- Genetics top 0.5%
- Molecular Biology top 5%
- Epidemiology top 5%
- Physiology top 2%
- Surgery top 5%
- Co-authors
- Ron DoChia‐Yen ChenBenjamin M. NealeDaniel M. JordanPhilippe FroguelAudrey LeloireOdile Poulain‐GodefroyLoïc Yengo
- Topics
- Genetic Associations and Epidemiology (7 papers)Bioinformatics and Genomic Networks (3 papers)Genomics and Rare Diseases (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Marie Verbanck
19 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Genetics 2.5k
- Molecular Biology 1.5k
- Epidemiology 908
- Physiology 876
- Surgery 616
Countries citing papers authored by Marie Verbanck
This map shows the geographic impact of Marie Verbanck's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marie Verbanck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Verbanck more than expected).
Fields of papers citing papers by Marie Verbanck
This network shows the impact of papers produced by Marie Verbanck. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marie Verbanck. The network helps show where Marie Verbanck may publish in the future.
Co-authorship network of co-authors of Marie Verbanck
This figure shows the co-authorship network connecting the top 25 collaborators of Marie Verbanck. A scholar is included among the top collaborators of Marie Verbanck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marie Verbanck. Marie Verbanck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 35 | |
| 8 | 93 | |
| 9 | 40 | |
| 10 | 51 | |
| 11 | 5 | |
| 12 | Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseasesbreakdown → | 4935 |
| 13 | 3 | |
| 14 | 57 | |
| 15 | 25 | |
| 16 | 92 | |
| 17 | 1 | |
| 18 | 208 | |
| 19 | 18 | |
| 20 | 34 |
About Marie Verbanck
Marie Verbanck is a scholar working on Biological Psychiatry, Genetics and Behavioral Neuroscience, having authored 20 papers that have together received 5.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Bioinformatics and Genomic Networks (3 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Genetics (2.5k citations), Biological Psychiatry (207 citations) and Rheumatology (608 citations). Marie Verbanck has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Ron Do, Chia‐Yen Chen, Benjamin M. Neale, Daniel M. Jordan, Philippe Froguel, Audrey Leloire, Odile Poulain‐Godefroy, Loïc Yengo, Hong‐Hee Won and Girish N. Nadkarni. Their work appears in journals such as Nature Communications, Nature Genetics and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.